T. Ortuño - Academia.edu (original) (raw)
Papers by T. Ortuño
On modelling planning under uncertainty in manufacturing∗
Preparar al profesorado novel de matematicas para una docencia universitaria de calidad, mediante... more Preparar al profesorado novel de matematicas para una docencia universitaria de calidad, mediante el desarrollo de competencias y conocimiento estrategico para aprender a ensenar Matematicas. Se desarrollan ejemplificaciones para ser implementadas.
No quisiera comenzar esta memoria sin expresar mi gratitud al profesor L. Escudero, bajo cuya dir... more No quisiera comenzar esta memoria sin expresar mi gratitud al profesor L. Escudero, bajo cuya dirección ha sido realizado este trabajo, por haber hecho posible la elaboración del mismo con sus orientaciones, enseñanzas y su inestimable ayuda. La posibilidad de trabajar a su lado ha sido una fuente de enriquecimiento constante durante los años de elaboración de esta memoria. Agradezco también al Departamento de Estadística e Investigación Operativa, a sus directores P. Ibarrola y L. Pardo, y a todos sus miembros el haberme brindado la posibilidad de desarrollar mi trabajo en un ambiente realmente propicio. Mención especial merecen los que, además de excelentes cornpai ¶eros, han sabido ser amigos y fuente constante de apoyo y estímulo a lo largo del camino, no siempre fácil, recorrido en estos años. Por último, he de agradecer la gran comprensión y el apoyo moral recibido por parte de mis padres, mis hermanos, de los amigos, que han seguido paso a paso, sin entender a veces pero siempre des 1e el cariño, el trabajo que ha dado lugar a esta memoria.
ABSTRACT We present a modelling framework for two-stage and multi-stage mixed 0-1 problems under ... more ABSTRACT We present a modelling framework for two-stage and multi-stage mixed 0-1 problems under uncertainty for strategic Supply Chain Management, tactical production planning and operations assignment and scheduling. A scenario tree based scheme is used to represent the uncertainty. We present the Deterministic Equivalent Model of the stochastic mixed 0-1 programs with complete recourse that we study. The constraints are modelled by compact and splitting variable representations via scenarios.
SORT, 2007
We present a modelling framework for two-stage and multi-stage mixed 0−1 problems under uncertain... more We present a modelling framework for two-stage and multi-stage mixed 0−1 problems under uncertainty for strategic Supply Chain Management, tactical production planning and operations assignment and scheduling. A scenario tree based scheme is used to represent the uncertainty. We present the Deterministic Equivalent Model of the stochastic mixed 0−1 programs with complete recourse that we study. The constraints are modelled by compact and splitting variable representations via scenarios.
J. Montero, J.A. Ardizone, C. Franco, J.M. Garcia-Santesmases, L. Garmendia, D. Gomez, R. Gonzale... more J. Montero, J.A. Ardizone, C. Franco, J.M. Garcia-Santesmases, L. Garmendia, D. Gomez, R. Gonzalez del Campo, V. Lopez, S. Munoz, T. Ortuno, E. Roanes, J.T. Rodriguez, K. Rojas, G. Tirado, B. Vitoriano, J. Yanez y E. Zarrazola 1Instituto de Geociencias (CSIC-UCM), Sede Facultad de Ciencias Matematicas. Plaza de Ciencias 3, 28040 Madrid, Espana. 2Dpto. Estadistica e Investigacion Operativa, Facultad de Ciencias Matematicas (UCM). Plaza de Ciencias 3, 28040 Madrid, Espana. Javier_Montero@mat.ucm.es
Computers & Operations Research, 2014
The distribution of emergency goods to a population affected by a disaster is one of the most fun... more The distribution of emergency goods to a population affected by a disaster is one of the most fundamental operations in Humanitarian Logistics. In the case of a particularly disruptive event, parts of the distribution infrastructure (e.g., bridges, roads) can be damaged. This damage would make it impossible and/or unsafe for the vehicles to reach all the centers of demand (e.g., towns and villages). In this paper, we propose and solve the problem of planning for recovery of damaged elements of the distribution network, so that the consequent distribution planning would benefit the most. We apply the model, called RecHADS, to a case study based on the 2010 Haiti earthquake. We also show empirically the importance of coordinating recovery and distribution operations optimization.
Annals of Operations Research, 2009
Crop production entails many decision making processes aimed at improving productivity and achiev... more Crop production entails many decision making processes aimed at improving productivity and achieving the best yield from scarce resources, which are normally limited. Assuming that there is a certain technical path of tasks to be carried out within a period, and that each task can be done in different ways, the problem addressed in this paper consists of choosing how
International Encyclopedia of Transportation, 2021
Abstract. We present a two-stage stochastic 0-1 modeling and a related algorithmic approach for S... more Abstract. We present a two-stage stochastic 0-1 modeling and a related algorithmic approach for Supply Chain Management under uncertainty, whose goal consists of determining the production topology, plant sizing, product selection, product allocation among plants and vendor selection for raw materials. The objective is the maximization of the expected benefit given by the product net profit over the time horizon minus the investment depreciation and operations costs. The main uncertain parameters are the product net price and demand, the raw material supply cost and the production cost. The first stage is included by the strategic decisions. The second stage is included by the tactical decisions. A tight 0-1 model for the deterministic version is presented. A splitting variable mathematical representation via scenario is presented for the stochastic version of the model. A two-stage version of a Branch and Fix Coordination (BFC) algorithmic approach is proposed for stochastic 0-1 pr...
We present a two-stage full recourse model for strategic production planning under un-certainty, ... more We present a two-stage full recourse model for strategic production planning under un-certainty, whose aim consists of determining product selection and plant dimensioning. The main uncertain parameters are the product price, demand and production cost. The benefit is given by the product net profit over the time horizon minus the investment depreciation and operation costs. The Value-at-Risk and the reaching probability are considered as risk measures in the objective function to be optimized as alternatives to the maximization of the expected benefit over the scenarios. The uncertainty is represented by a set of scenarios. The problem is formulated as a mixed 0–1 Deterministic Equivalent Model. The strategic decisions to be made in the first stage are represented by 0–1 variables. The tactical deci-sions to be made in the second stage are represented by continuous variables. An approach for problem solving based on a splitting variable mathematical representation via scenario is c...
SORT, 2007
We present a modelling framework for two-stage and multi-stage mixed 0−1 problems under uncertain... more We present a modelling framework for two-stage and multi-stage mixed 0−1 problems under uncertainty for strategic Supply Chain Management, tactical production planning and operations assignment and scheduling. A scenario tree based scheme is used to represent the uncertainty. We present the Deterministic Equivalent Model of the stochastic mixed 0−1 programs with complete recourse that we study. The constraints are modelled by compact and splitting variable representations via scenarios.
We present a modelling framework for two-stage and multi-stage mixed 0-1 problems under uncertain... more We present a modelling framework for two-stage and multi-stage mixed 0-1 problems under uncertainty for strategic Supply Chain Management, tactical production planning and operations assignment and scheduling. A scenario tree based scheme is used to represent the uncertainty. We present the Deterministic Equivalent Model of the stochastic mixed 0-1 programs with complete recourse that we study. The constraints are modelled by compact and splitting variable representations via scenarios.
Energy, 2016
In decentralised rural electrification through solar home systems, private companies and promotin... more In decentralised rural electrification through solar home systems, private companies and promoting institutions are faced with the problem of deploying maintenance structures to operate and guarantee the service of the solar systems for long periods (ten years or more). The problems linked to decentralisation, such as the dispersion of dwellings, difficult access and maintenance needs, makes it an arduous task. This paper proposes an innovative design tool created ad hoc for photovoltaic rural electrification based on a real photovoltaic rural electrification program in Morocco as a special case study. The tool is developed from a mathematical model comprising a set of decision variables (location, transport, etc.) that must meet certain constraints and whose optimisation criterion is the minimum cost of the operation and maintenance activity assuming an established quality of service. The main output of the model is the overall cost of the maintenance structure. The best location for the local maintenance headquarters and warehouses in a given region is established, as are the number of maintenance technicians and vehicles required.
Journal of Multi-Criteria Decision Analysis, 2009
Omega
We present a two-stage full recourse model for strategic production planning under uncertainty, w... more We present a two-stage full recourse model for strategic production planning under uncertainty, whose aim consists of determining product selection and plant dimensioning. The main uncertain parameters are the product price, demand and production cost. The benefit is given by the product net profit over the time horizon minus the investment depreciation and operation costs. The Value-at-Risk and the reaching probability are considered as risk measures in the objective function to be optimized as alternatives to the maximization of the expected benefit over the scenarios. The uncertainty is represented by a set of scenarios. The problem is formulated as a mixed 0-1 Deterministic Equivalent Model. The strategic decisions to be made in the first stage are represented by 0-1 variables. The tactical decisions to be made in the second stage are represented by continuous variables. An approach for problem solving based on a splitting variable mathematical representation via scenario is con...
On modelling planning under uncertainty in manufacturing∗
Preparar al profesorado novel de matematicas para una docencia universitaria de calidad, mediante... more Preparar al profesorado novel de matematicas para una docencia universitaria de calidad, mediante el desarrollo de competencias y conocimiento estrategico para aprender a ensenar Matematicas. Se desarrollan ejemplificaciones para ser implementadas.
No quisiera comenzar esta memoria sin expresar mi gratitud al profesor L. Escudero, bajo cuya dir... more No quisiera comenzar esta memoria sin expresar mi gratitud al profesor L. Escudero, bajo cuya dirección ha sido realizado este trabajo, por haber hecho posible la elaboración del mismo con sus orientaciones, enseñanzas y su inestimable ayuda. La posibilidad de trabajar a su lado ha sido una fuente de enriquecimiento constante durante los años de elaboración de esta memoria. Agradezco también al Departamento de Estadística e Investigación Operativa, a sus directores P. Ibarrola y L. Pardo, y a todos sus miembros el haberme brindado la posibilidad de desarrollar mi trabajo en un ambiente realmente propicio. Mención especial merecen los que, además de excelentes cornpai ¶eros, han sabido ser amigos y fuente constante de apoyo y estímulo a lo largo del camino, no siempre fácil, recorrido en estos años. Por último, he de agradecer la gran comprensión y el apoyo moral recibido por parte de mis padres, mis hermanos, de los amigos, que han seguido paso a paso, sin entender a veces pero siempre des 1e el cariño, el trabajo que ha dado lugar a esta memoria.
ABSTRACT We present a modelling framework for two-stage and multi-stage mixed 0-1 problems under ... more ABSTRACT We present a modelling framework for two-stage and multi-stage mixed 0-1 problems under uncertainty for strategic Supply Chain Management, tactical production planning and operations assignment and scheduling. A scenario tree based scheme is used to represent the uncertainty. We present the Deterministic Equivalent Model of the stochastic mixed 0-1 programs with complete recourse that we study. The constraints are modelled by compact and splitting variable representations via scenarios.
SORT, 2007
We present a modelling framework for two-stage and multi-stage mixed 0−1 problems under uncertain... more We present a modelling framework for two-stage and multi-stage mixed 0−1 problems under uncertainty for strategic Supply Chain Management, tactical production planning and operations assignment and scheduling. A scenario tree based scheme is used to represent the uncertainty. We present the Deterministic Equivalent Model of the stochastic mixed 0−1 programs with complete recourse that we study. The constraints are modelled by compact and splitting variable representations via scenarios.
J. Montero, J.A. Ardizone, C. Franco, J.M. Garcia-Santesmases, L. Garmendia, D. Gomez, R. Gonzale... more J. Montero, J.A. Ardizone, C. Franco, J.M. Garcia-Santesmases, L. Garmendia, D. Gomez, R. Gonzalez del Campo, V. Lopez, S. Munoz, T. Ortuno, E. Roanes, J.T. Rodriguez, K. Rojas, G. Tirado, B. Vitoriano, J. Yanez y E. Zarrazola 1Instituto de Geociencias (CSIC-UCM), Sede Facultad de Ciencias Matematicas. Plaza de Ciencias 3, 28040 Madrid, Espana. 2Dpto. Estadistica e Investigacion Operativa, Facultad de Ciencias Matematicas (UCM). Plaza de Ciencias 3, 28040 Madrid, Espana. Javier_Montero@mat.ucm.es
Computers & Operations Research, 2014
The distribution of emergency goods to a population affected by a disaster is one of the most fun... more The distribution of emergency goods to a population affected by a disaster is one of the most fundamental operations in Humanitarian Logistics. In the case of a particularly disruptive event, parts of the distribution infrastructure (e.g., bridges, roads) can be damaged. This damage would make it impossible and/or unsafe for the vehicles to reach all the centers of demand (e.g., towns and villages). In this paper, we propose and solve the problem of planning for recovery of damaged elements of the distribution network, so that the consequent distribution planning would benefit the most. We apply the model, called RecHADS, to a case study based on the 2010 Haiti earthquake. We also show empirically the importance of coordinating recovery and distribution operations optimization.
Annals of Operations Research, 2009
Crop production entails many decision making processes aimed at improving productivity and achiev... more Crop production entails many decision making processes aimed at improving productivity and achieving the best yield from scarce resources, which are normally limited. Assuming that there is a certain technical path of tasks to be carried out within a period, and that each task can be done in different ways, the problem addressed in this paper consists of choosing how
International Encyclopedia of Transportation, 2021
Abstract. We present a two-stage stochastic 0-1 modeling and a related algorithmic approach for S... more Abstract. We present a two-stage stochastic 0-1 modeling and a related algorithmic approach for Supply Chain Management under uncertainty, whose goal consists of determining the production topology, plant sizing, product selection, product allocation among plants and vendor selection for raw materials. The objective is the maximization of the expected benefit given by the product net profit over the time horizon minus the investment depreciation and operations costs. The main uncertain parameters are the product net price and demand, the raw material supply cost and the production cost. The first stage is included by the strategic decisions. The second stage is included by the tactical decisions. A tight 0-1 model for the deterministic version is presented. A splitting variable mathematical representation via scenario is presented for the stochastic version of the model. A two-stage version of a Branch and Fix Coordination (BFC) algorithmic approach is proposed for stochastic 0-1 pr...
We present a two-stage full recourse model for strategic production planning under un-certainty, ... more We present a two-stage full recourse model for strategic production planning under un-certainty, whose aim consists of determining product selection and plant dimensioning. The main uncertain parameters are the product price, demand and production cost. The benefit is given by the product net profit over the time horizon minus the investment depreciation and operation costs. The Value-at-Risk and the reaching probability are considered as risk measures in the objective function to be optimized as alternatives to the maximization of the expected benefit over the scenarios. The uncertainty is represented by a set of scenarios. The problem is formulated as a mixed 0–1 Deterministic Equivalent Model. The strategic decisions to be made in the first stage are represented by 0–1 variables. The tactical deci-sions to be made in the second stage are represented by continuous variables. An approach for problem solving based on a splitting variable mathematical representation via scenario is c...
SORT, 2007
We present a modelling framework for two-stage and multi-stage mixed 0−1 problems under uncertain... more We present a modelling framework for two-stage and multi-stage mixed 0−1 problems under uncertainty for strategic Supply Chain Management, tactical production planning and operations assignment and scheduling. A scenario tree based scheme is used to represent the uncertainty. We present the Deterministic Equivalent Model of the stochastic mixed 0−1 programs with complete recourse that we study. The constraints are modelled by compact and splitting variable representations via scenarios.
We present a modelling framework for two-stage and multi-stage mixed 0-1 problems under uncertain... more We present a modelling framework for two-stage and multi-stage mixed 0-1 problems under uncertainty for strategic Supply Chain Management, tactical production planning and operations assignment and scheduling. A scenario tree based scheme is used to represent the uncertainty. We present the Deterministic Equivalent Model of the stochastic mixed 0-1 programs with complete recourse that we study. The constraints are modelled by compact and splitting variable representations via scenarios.
Energy, 2016
In decentralised rural electrification through solar home systems, private companies and promotin... more In decentralised rural electrification through solar home systems, private companies and promoting institutions are faced with the problem of deploying maintenance structures to operate and guarantee the service of the solar systems for long periods (ten years or more). The problems linked to decentralisation, such as the dispersion of dwellings, difficult access and maintenance needs, makes it an arduous task. This paper proposes an innovative design tool created ad hoc for photovoltaic rural electrification based on a real photovoltaic rural electrification program in Morocco as a special case study. The tool is developed from a mathematical model comprising a set of decision variables (location, transport, etc.) that must meet certain constraints and whose optimisation criterion is the minimum cost of the operation and maintenance activity assuming an established quality of service. The main output of the model is the overall cost of the maintenance structure. The best location for the local maintenance headquarters and warehouses in a given region is established, as are the number of maintenance technicians and vehicles required.
Journal of Multi-Criteria Decision Analysis, 2009
Omega
We present a two-stage full recourse model for strategic production planning under uncertainty, w... more We present a two-stage full recourse model for strategic production planning under uncertainty, whose aim consists of determining product selection and plant dimensioning. The main uncertain parameters are the product price, demand and production cost. The benefit is given by the product net profit over the time horizon minus the investment depreciation and operation costs. The Value-at-Risk and the reaching probability are considered as risk measures in the objective function to be optimized as alternatives to the maximization of the expected benefit over the scenarios. The uncertainty is represented by a set of scenarios. The problem is formulated as a mixed 0-1 Deterministic Equivalent Model. The strategic decisions to be made in the first stage are represented by 0-1 variables. The tactical decisions to be made in the second stage are represented by continuous variables. An approach for problem solving based on a splitting variable mathematical representation via scenario is con...